arXiv:2606.30145v1 Announce Type: cross Abstract: Natural face-to-face conversation requires real-time speech generation together with synchronized facial motion. Existing systems only partially address this problem: speech-only full-duplex models can generate speech in real time but do not produce facial motion, while audio-driven facial motion models animate a face from already available audio rather than jointly generating speech and motion online. To bridge this gap, we first formalize full-duplex joint speech-facial motion generation, where speech tokens and facial motion tokens are produ
The continuous advancements in AI, particularly in generative models and real-time processing, enable the imminent development of sophisticated conversational avatars.
This development allows for more natural and immersive human-computer interaction, potentially transforming customer service, education, and digital communication platforms.
The ability to generate synchronized speech and facial motion in real-time moves AI-driven conversational avatars from static or pre-rendered to dynamic and fully interactive.
- · AI software developers
- · metaverse and virtual reality platforms
- · customer service industries
- · remote collaboration tools
- · providers of basic chatbot services
- · companies relying on static digital representations
- · early-stage avatar animation studios
More engaging and human-like AI interactions become possible across various digital interfaces.
Public perception and trust in AI systems could increase due to improved naturalness in communication.
The line between human and AI-driven conversation might blur, raising new ethical and social considerations.
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Read at arXiv cs.LG